Compare Kovair Data Lake vs. VMware Tanzu Greenplum

Kovair Data Lake is ranked 30th in Data Warehouse while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 4 reviews. Kovair Data Lake is rated 0, while VMware Tanzu Greenplum is rated 7.2. On the other hand, the top reviewer of VMware Tanzu Greenplum writes "A scalable and future-proof solution for data warehousing". Kovair Data Lake is most compared with , whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Amazon Redshift and Teradata.
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Ranking
30th
out of 32 in Data Warehouse
Views
45
Comparisons
24
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
9th
out of 32 in Data Warehouse
Views
11,870
Comparisons
8,317
Reviews
4
Average Words per Review
352
Avg. Rating
7.3
Top Comparisons
Compared 12% of the time.
Also Known As
Greenplum, Pivotal Greenplum
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Kovair
VMware
Overview

Kovair Data Lake is a central database that comes with SQL server support. This makes it capable of storing data from multiple projects residing in diversified tools used by an organization. Based on organizational needs, the stored data is then segregated by departments or business units. Kovair Data Lake also comes with a very intuitive UI interface for managing and monitoring of the Data Lake.

Many organizations use enterprise data warehouses to meet both operational and reporting needs. However, apart from offering a storage and management facilities, there are certain limitations that organizations continue to face. These are –

- Real-time synchronization of data within a centralized data storage

- Traceability and governance of stored data

- Low-cost storage infrastructure compared to Big Data or Data Warehouse

- Handling of low volume but highly diversified data

- Prescriptive analytics that will aid in taking data-driven decisions and on-time service delivery

    Kovair has been a market leader in the domain of data integration with a marquee of clients from networking, semiconductor, telecom, manufacturing, banking and finance. Over the recent years, it has witnessed a shift in focus for organizations using multiple tools and different teams. While Kovair Omnibus provides the support for features like traceability, cross tool reporting, and task-based workflow that is simply not enough! Customers today are looking for central data store where data coming from different tools used in an organization could be accumulated in its native format.

    Data Lake presents a low-cost alternative to exploding storage and processing costs of traditional warehouses.

    While traditional data warehouses store data in hierarchical format. Data Lake offers a central database repository with a flat architecture for storing the data. This protects the data from unwanted manipulation, enabling businesses to take informed decisions accurately and building a better business-customer relationship.

    Product Highlights:

    - Large Data Repository for Central Administration

    - Tool Extractors with WS/SQL Communication Support

    - Web-based Data Lake Portal

      More details - https://www.kovair.com/data-lake/

      Parallel Postgres for enterprise analytics at scale
      With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

      Offer
      Learn more about Kovair Data Lake
      Learn more about VMware Tanzu Greenplum
      Sample Customers
      HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, HoneywellGeneral Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
      Top Industries
      No Data Available
      REVIEWERS
      Financial Services Firm44%
      Comms Service Provider19%
      Marketing Services Firm19%
      Pharma/Biotech Company6%
      VISITORS READING REVIEWS
      Software R&D Company37%
      Comms Service Provider14%
      Financial Services Firm11%
      Retailer5%
      Find out what your peers are saying about Snowflake Computing, Oracle, Micro Focus and others in Data Warehouse. Updated: May 2020.
      420,062 professionals have used our research since 2012.
      We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.